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ORCID6th CompIMAGE 2018: Cracow, Poland
- Reneta P. Barneva, Valentin E. Brimkov, Piotr Kulczycki, João Manuel R. S. Tavares:
Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - 6th International Conference, CompIMAGE 2018, Cracow, Poland, July 2-5, 2018, Revised Selected Papers. Lecture Notes in Computer Science 10986, Springer 2019, ISBN 978-3-030-20804-2
Theoretical Foundations of Computer Imaging
- Kálmán Palágyi, Gábor Németh:
Endpoint-Based Thinning with Designating Safe Skeletal Points. 3-15 - Josef Slapal
:
Structuring Digital Plane by Closure Operators Associated with n-ary Relations. 16-22 - Péter Kardos, Kálmán Palágyi:
Maximal P-simple Sets on (8, 4) Pictures. 23-32 - László Kudela, Stefan Kollmannsberger, Ernst Rank:
An Immersed Boundary Approach for the Numerical Analysis of Objects Represented by Oriented Point Clouds. 33-41 - Pawan Kumar Patnaik, Venkata Padmavati Metta, Jyoti Singh, D. Gnanaraj Thomas:
Pure Hexagonal Context-Free Grammars Generating Hexagonal Patterns. 42-55 - László G. Varga:
Multimaterial Tomography: Reconstruction from Decomposed Projection Sets. 56-69 - Gábor Lékó, Péter Balázs:
Sequential Projection Selection Methods for Binary Tomography. 70-81 - Judit Szücs, Péter Balázs:
Variants of Simulated Annealing for Strip Constrained Binary Tomography. 82-92
Methods and Applications
- Melinda Katona, Tünde Tokés, Emília Rita Szabó, Szilvia Brunner, Imre Zoltán Szabó, Róbert Polanek, Katalin Hideghéty, László G. Nyúl:
Automatic Segmentation and Quantitative Analysis of Irradiated Zebrafish Embryos. 95-107 - Mohan L. Jayatilake, Teresa Gonçalves, Luís Miguel Rato:
Classification of Breast Lesions Using Quantitative Dynamic Contrast Enhanced-MRI. 108-119 - Ivona Tautkute, Tomasz Trzcinski, Adam Bielski:
Recognizing Emotions with EmotionalDAN. 120-128 - Alberto Arturo Vergani, Samuele Martinelli, Elisabetta Binaghi:
Clustering Functional MRI Patterns with Fuzzy and Competitive Algorithms. 129-144 - Fabio Bracci, Mo Li, Ingo Kossyk, Zoltan-Csaba Marton:
Applicability of Deep Learned vs Traditional Features for Depth Based Classification. 145-159 - Sk Md Obaidullah, Md Sajib Ahmed, Teresa Gonçalves:
Effect of Image View for Mammogram Mass Classification - An Extreme Learning Based Approach. 160-172 - Karol Piaskowski, Dominik Belter:
Fast Object Detector Based on Convolutional Neural Networks. 173-185 - Dariusz Pojda, Agnieszka Anna Tomaka, Leszek Luchowski, Krzysztof Skabek, Michal Tarnawski:
Applying Computational Geometry to Designing an Occlusal Splint. 186-200
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